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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
Learning unbelievable probabilities NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
On Causal Discovery with Cyclic Additive Noise Models NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Group Anomaly Detection using Flexible Genre Models NIPS 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Solving Decision Problems with Limited Information NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Collective Graphical Models NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Generative Kernels for Exponential Families AISTATS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011